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Ana Madevska Bogdanova
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Year
Non-invasive blood pressure estimation from ECG using machine learning techniques
M Simjanoska, M Gjoreski, M Gams, A Madevska Bogdanova
Sensors 18 (4), 1160, 2018
1812018
Game-based learning in computer science education: a scoping literature review
M Videnovik, T Vold, L Kiønig, A Madevska Bogdanova, V Trajkovik
International Journal of STEM Education 10 (1), 54, 2023
662023
Probabilistic SVM outputs for pattern recognition using analytical geometry
A Madevska Bogdanova, D Nikolik, L Curfs
Neurocomputing 62, 293-303, 2004
522004
Multi-level information fusion for learning a blood pressure predictive model using sensor data
M Simjanoska, S Kochev, J Tanevski, AM Bogdanova, G Papa, T Eftimov
Information Fusion 58, 24-39, 2020
472020
Laser-Induced Graphene for Heartbeat Monitoring with HeartPy Analysis
T Vićentić, M Rašljić Rafajilović, SD Ilić, B Koteska, ...
Sensors 22 (17), 6326, 2022
252022
A new approach of modifying SVM outputs
A Madevska Bogdanova, D Nikolic
Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural …, 2000
232000
Mobile wireless monitoring system for prehospital emergency care
N Koceska, R Komadina, M Simjanoska, B Koteska, A Strahovnik, A Jošt, ...
European Journal of Trauma and Emergency Surgery 46, 1301-1308, 2020
202020
What clinics are expecting from data scientists? a review on data oriented studies through qualitative and quantitative approaches
L Xu, M Simjanoska, B Koteska, V Trajkovikj, AM Bogdanova, KD Starič, ...
IEEE Access 7, 641-654, 2019
172019
Game-based learning approach in computer science in primary education: A systematic review
M Videnovik, A Madevska Bogdanova, V Trajkovik
Entertainment Computing 48 (10.1186/s40594-023-00447-2), 100616, 2024
162024
Connected Health in Europe: Where are we today?
N Mountford, T Kessie, M Quinlan, R Maher, R Smolders, P Van Royen, ...
University College Dublin, 2016
152016
Intelligent modelling for predicting students' final grades
M Simjanoska, M Gusev, AM Bogdanova
2014 37th International Convention on Information and Communication …, 2014
132014
Fast Cuffless Blood Pressure Classification with ECG and PPG signals using CNN-LSTM Models in Emergency Medicine
I Kuzmanov, A Madevska Bogdanova, M Kostoska, N Ackovska
2022 MIPRO, IEEE, 362-367, 2022
122022
Teaching bioinformatics to computer science students
N Ackovska, A Madevska-Bogdanova
EUROCON 2005-The International Conference on" Computer as a Tool" 1, 811-814, 2005
122005
A deep Learning Approach to Estimate SpO2 from PPG Signals
B Koteska, A Madevska Bogdanova, H Mitrova, F Lehocki, M Sidorenko
ICBRA '22, Berlin, Germany: Proceedings of the 9th International Conference …, 2022
112022
ECG-derived Blood Pressure Classification using Complexity Analysis-based Machine Learning.
M Simjanoska, M Gjoreski, AM Bogdanova, B Koteska, M Gams, JF Tasic
HEALTHINF, 282-292, 2018
112018
A new model for collaborative learning of programming using source code similarity detection
E Stankov, M Jovanov, B Kostadinov, AM Bogdanova
2015 IEEE Global Engineering Education Conference (EDUCON), 709-715, 2015
112015
Bayesian posterior probability classification of colorectal cancer probed with affymetrix microarray technology
M Simjanoska, AM Bogdanova, Z Popeska
2013 36th International Convention on Information and Communication …, 2013
112013
Smart generation of code tracing questions for assessment in introductory programming
E Stankov, M Jovanov, A Madevska Bogdanova
Comput. Appl. Eng. Educ.,(2022), 1– 21. https://doi.org/10.1002/c, 2022
102022
Smartpatch for victims management in emergency telemedicine
F Lehocki, AM Bogdanova, M Tysler, B Ondrusova, M Simjanoska, ...
2021 13th International Conference on Measurement, 146-149, 2021
102021
Machine learning based SpO2 prediction from PPG signal's characteristics features
B Koteska, H Mitrova, A Madevska Bogdanova, F Lehocki
IEEE MeMeA 2022, Taormina, Italy, pp. 1-6, doi: 10.1109/MeMeA54994.2022.9856498., 2022
82022
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